Computer Vision Engineer Salary in United States during 2024

Salary details

The average Computer Vision Engineer salary lies between USD 141,340 and USD 235,000 in the United States. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Salary trend

Top 20 Job Tags for Computer Vision Engineer roles

The three most common job tag items assiciated with Computer Vision Engineer job listings are Computer Vision, Python and Machine Learning. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Computer Vision | 147 jobs Python | 123 jobs Machine Learning | 117 jobs Engineering | 97 jobs Deep Learning | 93 jobs Research | 89 jobs Computer Science | 87 jobs PyTorch | 76 jobs TensorFlow | 63 jobs OpenCV | 45 jobs PhD | 43 jobs Robotics | 37 jobs 3D Reconstruction | 36 jobs AWS | 34 jobs Agile | 33 jobs Testing | 32 jobs Architecture | 31 jobs Git | 30 jobs Docker | 30 jobs SLAM | 27 jobs

Top 20 Job Perks/Benefits for Computer Vision Engineer roles

The three most common job benefits and perks assiciated with Computer Vision Engineer job listings are Career development, Health care and Team events. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 103 jobs Health care | 46 jobs Team events | 34 jobs Salary bonus | 34 jobs Equity / stock options | 32 jobs Flex hours | 29 jobs Startup environment | 24 jobs Competitive pay | 22 jobs Medical leave | 22 jobs Parental leave | 16 jobs Flex vacation | 15 jobs Conferences | 13 jobs 401(k) matching | 12 jobs Wellness | 10 jobs Insurance | 10 jobs Gear | 7 jobs Relocation support | 7 jobs Unlimited paid time off | 7 jobs Fitness / gym | 4 jobs Home office stipend | 4 jobs

Salary Composition for a Computer Vision Engineer

The salary for a Computer Vision Engineer in the United States typically comprises several components: a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is often the largest portion, accounting for 70-80% of the total compensation package. Bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the base salary. In tech hubs like Silicon Valley, equity or stock options can be a substantial part of the compensation, sometimes making up 10-30% of the total package. Larger companies or those in high-demand regions may offer more competitive bonuses and equity options compared to smaller firms or those in less competitive areas.

Steps to Increase Salary

To increase your salary beyond the median of USD 193,000, consider the following strategies:

• Specialize Further: Develop expertise in niche areas within computer vision, such as 3D vision, autonomous systems, or medical imaging, which can command higher salaries.
• Leadership Roles: Transition into leadership or managerial roles, such as a team lead or project manager, which often come with higher pay.
• Advanced Education: Pursue further education, such as a Ph.D., which can open doors to higher-level positions and research opportunities.
• Networking and Industry Engagement: Attend conferences, contribute to open-source projects, and publish research to increase your visibility and reputation in the field.
• Negotiation Skills: Improve your negotiation skills to better advocate for higher pay during job offers or performance reviews.

Educational Requirements

Most Computer Vision Engineer positions require at least a bachelor's degree in computer science, electrical engineering, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles involving research and development. These advanced degrees provide deeper knowledge and research experience, which are crucial for tackling complex computer vision problems.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your expertise:

• Certified Computer Vision Professional (CCVP): This certification focuses specifically on computer vision skills and knowledge.
• AWS Certified Machine Learning – Specialty: Useful if you are working with cloud-based machine learning solutions.
• TensorFlow Developer Certificate: Demonstrates proficiency in using TensorFlow, a popular framework for machine learning and computer vision tasks.

Required Experience

Typically, employers look for candidates with 3-5 years of experience in machine learning, computer vision, or a related field. Experience with specific tools and technologies, such as OpenCV, TensorFlow, or PyTorch, is often required. Additionally, experience in developing and deploying computer vision models in real-world applications is highly valued.

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